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the goal to obtain more in-depth process understanding and develop automated control strategies for single cell microbial suspension cultures. Currently, the team is working on liquid- and gas-phase
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. Experimental work will be carried out using a high pressure vapor-liquid equilibrium cell and a CO2 flowloop, both of which are available but may require modifications to accommodate the planned measurements
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renowned for their fundamental cellular neuron-glia studies of myelinated and axons. We have new high-end in vitro and in vivo electrophysiological infrastructure, optogenetic and high-speed one and two
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, semiconductor materials or optoelectronic devices. Experience with materials characterization techniques such as XRD, XPS, SEM, AFM, ellipsometry, Hall measurements or related methods. Experience with solar-cell
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of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate
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techniques such as XRD, XPS, SEM, AFM, ellipsometry, Hall measurements or related methods. Experience with solar-cell characterization (J-V, EQE, stability testing) is considered an advantage. Excellent
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dynamics upon infection of plant RNA viruses; analyze RNAseq and proteomics data, and apply and implement advanced biochemistry, molecular biology, and cell biology methods; to use molecular tools
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implement advanced biochemistry, molecular biology, and cell biology; including cloning, transformation and validation of interacting partners using transient assays and other in planta gene-silencing
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capable of predicting key performance indicators, including cell potential, gas purity, Faradaic efficiency and degradation behaviour. You will work closely with project partners across Europe to validate
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mechanisms of T-cell recognition. These discoveries will support the development of next-generation vaccine-based therapies, ultimately contributing to improved outcomes for patients with cancer. Finally, you